Data Scientist mit KI-Fokus und Kundenkontakt at Tito & Friends | AT | Rezi

Data Scientist mit KI-Fokus und Kundenkontakt at Tito & Friends

Data Scientist mit KI-Fokus und Kundenkontakt

Tito & Friends · AT

3 weeks ago

Data Scientist mit KI-Fokus und Kundenkontakt

Tito & Friends · AT

25 days ago
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About the Role

Reppublika develops SaaS products for Media and Ad Tech and market research used by publishers, agencies, and brands across Europe. Data Scientists connect data, product development, and customer needs, making information accessible for further product development. This role involves translating Data Science into functional solutions, utilizing AI as a core component. We seek experienced individuals with clear ambition, ready to take on responsibility, advance projects, and potentially lead a team within the next two to three years.

Responsibilities

  • Manage projects from inception to completion, clarifying customer needs, planning steps, and taking ownership of scope, deadlines, and delivery.
  • Coordinate within interdisciplinary teams (development, analytics, market research), aligning tasks and dependencies, and gradually progressing into technical project leadership.
  • Engage with clients, presenting results and explaining their business significance to leaders in media, marketing, and product development, justifying approaches clearly and without jargon.
  • Translate business questions into concrete analyses, refining open-ended queries and suggesting alternative approaches when beneficial.
  • Develop models, data pipelines, and analyses using extensive person-level data (behavioral and survey data like clickstream, panel, and ad contact data), ensuring solutions are production-ready.
  • Collaborate closely with developers, writing clean code, designing and utilizing data structures, and understanding how work integrates into the SaaS architecture.
  • Utilize AI as a central work tool with coding agents, LLM-based pipelines, and automation for faster development and new solution pathways.

Requirements

  • University degree in Statistics, Computer Science, Mathematics, Quantitative Social Sciences, or a comparable field; practical implementation is valued over formal degree.
  • Solid statistical knowledge (sampling, weighting, regression, significance testing) and good judgment for appropriate methods.
  • Several years of practical experience in Data Science or Analytics within a corporate environment, with a track record of implemented, utilized solutions.
  • Foundations of software development, including proficiency in Python or R, Git, APIs, testing, and deployment basics; ability to understand existing code.
  • Database knowledge: relational data modeling, advanced SQL, query performance understanding; experience with analytical or column-oriented databases and cloud environments (preferably AWS).
  • AI as an integral part of workflow, regularly using AI coding assistants and agents, with experience building at least one personal LLM-based tool, workflow, or pipeline.
  • Enjoyment of client interaction, with the ability to explain analytical results to non-technical audiences and a desire to improve communication with decision-makers.
  • Experience in media, Ad Tech, reach measurement, or market research.
  • Team spirit and organizational talent: planning and prioritizing work, early risk communication, meeting commitments, and a desire for project coordination and future leadership responsibility.
  • German language proficiency at C1 or C2 level (written and spoken) for independent customer communication, presentations, and technical discussions.
  • Fluent English for collaboration within the international team.

Skills

  • Data Science
  • Analytics
  • Python
  • R
  • Git
  • APIs
  • Testing
  • Deployment
  • SQL
  • Relational Data Modeling
  • Cloud Environments
  • AWS
  • AI
  • LLM
  • Coding Agents
  • Media
  • Ad Tech
  • Reach Measurement
  • Market Research
  • Project Management
  • Statistical Analysis
  • Regression Analysis
  • Significance Testing
  • Data Pipelines
  • SaaS Architecture

Location

  • Austria
  • Germany

Work Type

  • Home Office
  • Remote Work

Experience Level

  • Mid-Level
  • Senior
  • Team Lead Potential

Education Level

  • University degree in Statistics, Computer Science, Mathematics, Quantitative Social Sciences, or a comparable field

Salary/Compensations

  • 60,000 to 72,000 Euros gross per year
  • Performance-based bonus

Benefits

  • Responsibility and short decision-making paths
  • Work on products with direct impact on further development
  • Flexible working hours
  • Home office and remote work options
  • Free drinks and snacks in the office
  • Shared lunches
  • No dress code

About the Company

  • Reppublika develops SaaS products for Media and Ad Tech and market research.
  • Tito & Friends Holding is a family-run group of companies headquartered in Switzerland with approximately 200 employees in ten countries.
  • The brand portfolio includes the media tech toolbox Reppublika Data Analytics & Technologies, the market research company Reppublika Research & Analytics, and the panel provider Talk Online Panel.
  • Management teams are balanced in gender and age.
  • We value a modern work environment where people are the focus: with flexible working hours, family-friendly planning, agile project management, cross-border teams, and dog-friendly offices.